{"id":"W6920167025","doi":"10.6068/dp16dc74aae131","title":"TREND: Energy Information Administration. International Energy Statistics [Archive]: Renewables Biofuel Consumption | Country: Canada | Indicator: Total Biofuels Consumption (Thousand Barrels Per Day), 2000 - 2012. Data Planet™ Statistical Datasets: A SAGE Publishing Resource Dataset-ID: 004-014-036","year":2019,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biofuel; Renewable energy; Consumption (sociology); Energy policy; Energy consumption; Biomass (ecology); Production (economics); Energy source; Fossil fuel","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001473132,0.002091665,0.002288356,0.005976391,0.001591836,0.004679283,0.00414763,0.001356712,0.08410506],"category_scores_gemma":[0.0120293,0.001419008,0.001432586,0.03299591,0.0006090353,0.003195755,0.001811444,0.003707464,0.09523033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0124615,"about_ca_system_score_gemma":0.03289441,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8547332,"about_ca_topic_score_gemma":0.8491204,"domain_scores_codex":[0.9977308,0.000167025,0.0002589773,0.0004207418,0.0009747637,0.000447724],"domain_scores_gemma":[0.9827185,0.001004967,0.0007667291,0.001592733,0.01301798,0.0008990319],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001668765,0.000004984648,0.0003696507,0.0001507564,0.00001197144,0.000003320118,0.000007880773,0.00007892096,0.00001068262,0.000240958,0.997903,0.001201291],"study_design_scores_gemma":[0.00006890099,0.000004594887,0.004424567,0.0003327787,0.00002273657,0.000008871103,0.0001057359,0.0002177229,0.0001251664,0.0006350276,0.9940204,0.0000335127],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001859881,0.00002134144,0.00002468601,0.00004760492,0.00001618083,0.000008523151,0.9991853,0.00009974675,0.000578089],"genre_scores_gemma":[0.000165159,0.00008072916,0.0001671347,0.00003859353,0.000007371952,0.00004797471,0.9985374,0.00007945666,0.0008762007],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1452668,"threshold_uncertainty_score":0.2922446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01713524204019726,"score_gpt":0.2510851159825781,"score_spread":0.2339498739423808,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}